Resume and JobRESUME AND JOB
Uber logo

Manager, Science (Investments)

Uber

Engineering Jobs

Manager, Science (Investments)

full-timePosted: Mar 8, 2025

Job Description

Manager, Science (Investments)

πŸ“‹ Job Overview

Lead a team of scientists to optimize Uber's Mobility business through applied and data science, focusing on pricing and incentives globally. Collaborate with cross-functional teams and serve as a leader within the broader Science organization.

πŸ“ Location: San Francisco, California, United States

🏒 Department: Data Science

πŸ“„ Full Description

**About the Role**

Lead a high-performing team of scientists working to optimize Uber's Mobility business. This role will focus on applied and data science to intelligently optimize pricing and incentives allocations globally to meet near-term business goals while simultaneously optimizing for long-term enterprise value.

**What the Candidate Will Need / Bonus Points**

\-\-\-\- What the Candidate Will Do ----

1. Guide a team of applied and data scientists working on challenging problems at the interface of statistics, economics, optimization, and machine learning.
2. Collaborate closely with crossfunctional partners in engineering, product, and operations roles.
3. Serve as a role model and leader for a broader Science organization spanning multiple subteams.

\-\-\-\- Basic Qualifications ----

1. Experience leading high-performing scientists, economists, and applied researchers in an industrial marketplace setting.
2. Solid understanding of experimentation and causal inference applied at scale.
3. Familiarity with machine learning algorithms, optimization, and simulation strategies.
4. Ability to work effectively with a broad range of stakeholders.

\-\-\-\- Preferred Qualifications ----

1. PhD in Statistics, Economics, Operations Research or a similar field.
2. 3+ years of data-science management experience with at least 5 direct reports.
3. Record of significant technical contributions in a large-scale marketplace setting.

For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

🎯 Key Responsibilities

  • Guide a team of applied and data scientists working on challenging problems at the interface of statistics, economics, optimization, and machine learning.
  • Collaborate closely with crossfunctional partners in engineering, product, and operations roles.
  • Serve as a role model and leader for a broader Science organization spanning multiple subteams.

βœ… Required Qualifications

  • Experience leading high-performing scientists, economists, and applied researchers in an industrial marketplace setting.
  • Solid understanding of experimentation and causal inference applied at scale.
  • Familiarity with machine learning algorithms, optimization, and simulation strategies.
  • Ability to work effectively with a broad range of stakeholders.

πŸ› οΈ Required Skills

  • Leadership
  • Applied and data science
  • Statistics
  • Economics
  • Optimization
  • Machine learning
  • Collaboration
  • Stakeholder management

🎁 Benefits

  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits

Locations

  • San Francisco, California, United States

Salary

212,000 - 235,500 USD / yearly

Estimated Salary Rangemedium confidence

120,000 - 180,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Leadershipintermediate
  • Applied and data scienceintermediate
  • Statisticsintermediate
  • Economicsintermediate
  • Optimizationintermediate
  • Machine learningintermediate
  • Collaborationintermediate
  • Stakeholder managementintermediate

Required Qualifications

  • Experience leading high-performing scientists, economists, and applied researchers in an industrial marketplace setting. (experience)
  • Solid understanding of experimentation and causal inference applied at scale. (experience)
  • Familiarity with machine learning algorithms, optimization, and simulation strategies. (experience)
  • Ability to work effectively with a broad range of stakeholders. (experience)

Preferred Qualifications

  • PhD in Statistics, Economics, Operations Research or a similar field. (experience)
  • 3+ years of data-science management experience with at least 5 direct reports. (experience)
  • Record of significant technical contributions in a large-scale marketplace setting. (experience)

Responsibilities

  • Guide a team of applied and data scientists working on challenging problems at the interface of statistics, economics, optimization, and machine learning.
  • Collaborate closely with crossfunctional partners in engineering, product, and operations roles.
  • Serve as a role model and leader for a broader Science organization spanning multiple subteams.

Benefits

  • general: Eligible to participate in Uber's bonus program
  • general: May be offered an equity award & other types of comp
  • general: Eligible for various benefits

Target Your Resume for "Manager, Science (Investments)" , Uber

Get personalized recommendations to optimize your resume specifically for Manager, Science (Investments). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Manager, Science (Investments)" , Uber

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

UberSan FranciscoUnited StatesData ScienceData Science

Answer 10 quick questions to check your fit for Manager, Science (Investments) @ Uber.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

Uber logo

Manager, Science (Investments)

Uber

Engineering Jobs

Manager, Science (Investments)

full-timePosted: Mar 8, 2025

Job Description

Manager, Science (Investments)

πŸ“‹ Job Overview

Lead a team of scientists to optimize Uber's Mobility business through applied and data science, focusing on pricing and incentives globally. Collaborate with cross-functional teams and serve as a leader within the broader Science organization.

πŸ“ Location: San Francisco, California, United States

🏒 Department: Data Science

πŸ“„ Full Description

**About the Role**

Lead a high-performing team of scientists working to optimize Uber's Mobility business. This role will focus on applied and data science to intelligently optimize pricing and incentives allocations globally to meet near-term business goals while simultaneously optimizing for long-term enterprise value.

**What the Candidate Will Need / Bonus Points**

\-\-\-\- What the Candidate Will Do ----

1. Guide a team of applied and data scientists working on challenging problems at the interface of statistics, economics, optimization, and machine learning.
2. Collaborate closely with crossfunctional partners in engineering, product, and operations roles.
3. Serve as a role model and leader for a broader Science organization spanning multiple subteams.

\-\-\-\- Basic Qualifications ----

1. Experience leading high-performing scientists, economists, and applied researchers in an industrial marketplace setting.
2. Solid understanding of experimentation and causal inference applied at scale.
3. Familiarity with machine learning algorithms, optimization, and simulation strategies.
4. Ability to work effectively with a broad range of stakeholders.

\-\-\-\- Preferred Qualifications ----

1. PhD in Statistics, Economics, Operations Research or a similar field.
2. 3+ years of data-science management experience with at least 5 direct reports.
3. Record of significant technical contributions in a large-scale marketplace setting.

For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

🎯 Key Responsibilities

  • Guide a team of applied and data scientists working on challenging problems at the interface of statistics, economics, optimization, and machine learning.
  • Collaborate closely with crossfunctional partners in engineering, product, and operations roles.
  • Serve as a role model and leader for a broader Science organization spanning multiple subteams.

βœ… Required Qualifications

  • Experience leading high-performing scientists, economists, and applied researchers in an industrial marketplace setting.
  • Solid understanding of experimentation and causal inference applied at scale.
  • Familiarity with machine learning algorithms, optimization, and simulation strategies.
  • Ability to work effectively with a broad range of stakeholders.

πŸ› οΈ Required Skills

  • Leadership
  • Applied and data science
  • Statistics
  • Economics
  • Optimization
  • Machine learning
  • Collaboration
  • Stakeholder management

🎁 Benefits

  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits

Locations

  • San Francisco, California, United States

Salary

212,000 - 235,500 USD / yearly

Estimated Salary Rangemedium confidence

120,000 - 180,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Leadershipintermediate
  • Applied and data scienceintermediate
  • Statisticsintermediate
  • Economicsintermediate
  • Optimizationintermediate
  • Machine learningintermediate
  • Collaborationintermediate
  • Stakeholder managementintermediate

Required Qualifications

  • Experience leading high-performing scientists, economists, and applied researchers in an industrial marketplace setting. (experience)
  • Solid understanding of experimentation and causal inference applied at scale. (experience)
  • Familiarity with machine learning algorithms, optimization, and simulation strategies. (experience)
  • Ability to work effectively with a broad range of stakeholders. (experience)

Preferred Qualifications

  • PhD in Statistics, Economics, Operations Research or a similar field. (experience)
  • 3+ years of data-science management experience with at least 5 direct reports. (experience)
  • Record of significant technical contributions in a large-scale marketplace setting. (experience)

Responsibilities

  • Guide a team of applied and data scientists working on challenging problems at the interface of statistics, economics, optimization, and machine learning.
  • Collaborate closely with crossfunctional partners in engineering, product, and operations roles.
  • Serve as a role model and leader for a broader Science organization spanning multiple subteams.

Benefits

  • general: Eligible to participate in Uber's bonus program
  • general: May be offered an equity award & other types of comp
  • general: Eligible for various benefits

Target Your Resume for "Manager, Science (Investments)" , Uber

Get personalized recommendations to optimize your resume specifically for Manager, Science (Investments). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Manager, Science (Investments)" , Uber

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

UberSan FranciscoUnited StatesData ScienceData Science

Answer 10 quick questions to check your fit for Manager, Science (Investments) @ Uber.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.